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The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model

BACKGROUND: This study investigated the impact of individual factors on the Health information-seeking behavior (HISB) of infertile couples undergoing Assisted Reproductive Technologies (ART). MATERIALS AND METHODS: This applied study was done using the descriptive-analytical method. The population...

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Autores principales: Karami, Nader Alishan, Latifi, Masoomeh, Berahmand, Nilofar, Eini, Fatemeh, Al-Suqri, Mohammed N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186049/
https://www.ncbi.nlm.nih.gov/pubmed/37200740
http://dx.doi.org/10.4103/abr.abr_181_22
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author Karami, Nader Alishan
Latifi, Masoomeh
Berahmand, Nilofar
Eini, Fatemeh
Al-Suqri, Mohammed N.
author_facet Karami, Nader Alishan
Latifi, Masoomeh
Berahmand, Nilofar
Eini, Fatemeh
Al-Suqri, Mohammed N.
author_sort Karami, Nader Alishan
collection PubMed
description BACKGROUND: This study investigated the impact of individual factors on the Health information-seeking behavior (HISB) of infertile couples undergoing Assisted Reproductive Technologies (ART). MATERIALS AND METHODS: This applied study was done using the descriptive-analytical method. The population of the study remains to be infertile couples undergoing ART referred to a public Infertility Center and a private one in Bandar Abbas (capital of Hormozgan province, Southern Iran) in the summer of 2020. Using simple random sampling, 168 people were selected. The data collection tool was a questionnaire extracted from Longo HISB Model, used after validation and reliability. Data were analyzed by SPSS software using descriptive and inferential tests. RESULTS: The results showed that individual factors (gender, education, income, age, and cause of infertility) affect the HISB of infertile couples. Based on the analysis of variance, there was a significant difference between infertile couples concerning Passive Information Receipt (F = 2.688 and P = 0.048) so the couples with a male cause used Passive Information Receipt more. CONCLUSIONS: Considering the results, it is necessary for the country's health system to take appropriate measures to provide an appropriate situation for better decision-making for infertile couples and improve the chances of fertility by reducing the existing inequalities to Active Information Receipt and quality health information.
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spelling pubmed-101860492023-05-17 The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model Karami, Nader Alishan Latifi, Masoomeh Berahmand, Nilofar Eini, Fatemeh Al-Suqri, Mohammed N. Adv Biomed Res Original Article BACKGROUND: This study investigated the impact of individual factors on the Health information-seeking behavior (HISB) of infertile couples undergoing Assisted Reproductive Technologies (ART). MATERIALS AND METHODS: This applied study was done using the descriptive-analytical method. The population of the study remains to be infertile couples undergoing ART referred to a public Infertility Center and a private one in Bandar Abbas (capital of Hormozgan province, Southern Iran) in the summer of 2020. Using simple random sampling, 168 people were selected. The data collection tool was a questionnaire extracted from Longo HISB Model, used after validation and reliability. Data were analyzed by SPSS software using descriptive and inferential tests. RESULTS: The results showed that individual factors (gender, education, income, age, and cause of infertility) affect the HISB of infertile couples. Based on the analysis of variance, there was a significant difference between infertile couples concerning Passive Information Receipt (F = 2.688 and P = 0.048) so the couples with a male cause used Passive Information Receipt more. CONCLUSIONS: Considering the results, it is necessary for the country's health system to take appropriate measures to provide an appropriate situation for better decision-making for infertile couples and improve the chances of fertility by reducing the existing inequalities to Active Information Receipt and quality health information. Wolters Kluwer - Medknow 2023-03-21 /pmc/articles/PMC10186049/ /pubmed/37200740 http://dx.doi.org/10.4103/abr.abr_181_22 Text en Copyright: © 2023 Advanced Biomedical Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Karami, Nader Alishan
Latifi, Masoomeh
Berahmand, Nilofar
Eini, Fatemeh
Al-Suqri, Mohammed N.
The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title_full The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title_fullStr The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title_full_unstemmed The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title_short The Impact of Individual Factors on Health Information-Seeking Behavior of Infertile Couples Undergoing Assisted Reproductive Technologies: Longo Model
title_sort impact of individual factors on health information-seeking behavior of infertile couples undergoing assisted reproductive technologies: longo model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186049/
https://www.ncbi.nlm.nih.gov/pubmed/37200740
http://dx.doi.org/10.4103/abr.abr_181_22
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